# Demystifying Statistics: Why do we need confidence intervals?

Confidence intervals are calculated from an estimate of how far away our sample mean is from the actual population mean; the amount of error (or discrepancy) from our sample mean to the population mean.

## Demystifying Statistics: Why and how we adjust the p-value for number of tests run

Continuing our series on Demystifying Statistics, where we answer some of the most common questions we receive about UX stats. In the previous post in the Demystifying Statistics series we discussed what statistical significance means and what a p-value is. In this post we are…

## Demystifying Statistics: What is p and what does p < 0.05 mean?

This blog series aims to demystify some of the common questions we get on statistics. In this blog post we will be talking about what a p-value actually is, why does it have to be less than 0.05, and how they can help with making decisions in your UX research.

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